Databricks Delta Sharing

Databricks Partner of the Year 2023

We are honored S&P Global has been awarded the Databricks Financial Services Partner of the Year.

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S&P Global and Databricks form a dynamic collaboration, driving a transformative journey to tackle data challenges with Databricks Delta Sharing. As the Lakehouse company, Databricks serves as a unified platform, empowering your data teams to unlock valuable insights, construct and refine machine learning models, and seamlessly deploy them into production.

With Delta Sharing, you can harness the power of diverse data sources, such as Amazon S3, Microsoft Azure, and Google Cloud Storage, allowing the flexibly to adapt and innovate.

Service Provider Information

Databricks Delta Sharing is an open protocol for secure data sharing with other organizations, regardless of the computing platforms they use. Databricks builds Delta Sharing into its Unity Catalog data governance platform, enabling a Databricks user to share data with a person or group outside of their organization.

Key Information

Use Cases

  • One platform for integration, storage, processing, governance, sharing, analytics, and AI. One approach to how you work with both S&P Global Commodity Insights (SPGCI) and other third-party data.
  • Databricks provides an open solution to securely share SPGCI data from your lakehouse to any computing platform without replication and complicated ETL.
  • Provides automatic optimization for performance and storage, together with world-record-setting performance for both data warehousing and AI use cases.

Benefits

With S&P Global Commodity Insights data via Databricks you can get:

  • Accelerated Insights: Get data faster, speeding up analytics and enabling faster decision-making.
  • Unified Solutions: Experience a single platform integrating various data engineering, science, and machine learning tools to meet all your data needs.
  • Enhanced Efficiency: Focus on data analysis while Databricks manages operational complexities with fully managed infrastructure.
  • Simplified Big Data Analytics: Process large amounts of information in batches and micro-batches for efficient and near-real-time computation.

Details